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zarrmony

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Convert any bioimage file to OME-Zarr v0.5, preserving metadata.

Zarrmony reads proprietary microscopy formats (CZI, LIF, ND2, OME-TIFF, ...) via bioio and writes them as OME-Zarr v0.5, with mean-pool pyramid generation and a full audit trail of the conversion. User-supplied metadata (study/treatment/etc.) is not handled by zarrmony — it is owned by aperture-backend, which associates OME-Zarr stores to a separate metadata database.

By default (--layout auto) the writer is chosen from the reader's layout_hint: a flat reader writes one self-describing <scene>.ome.zarr store per scene under the output directory; a plate-shaped reader writes a single OME-NGFF HCS plate store at the output. The legacy bundled bioformats2raw.layout shape is opt-in via --layout bf2raw (CLI) or layout="bf2raw" (library).

Status: v0.9 in active development. API and metadata schema are not yet stable.

Install

pip install zarrmony

Readers

Zarrmony dispatches to a reader plugin per input format. They come in three tiers:

  • Built-in (bundled by default): CZI, LIF, ND2.
  • Optional extras in this repo (opt-in via pip install "zarrmony[<extra>]"): OME-TIFF via the ome-tiff extra.
  • External plugins (separate PyPI distributions, entry-point registered):
    • zarrmony-phenix — Opera Phenix (wraps pyphenix.OperaPhenixReader) — pip install zarrmony-phenix
    • zarrmony-blaze — Miltenyi UltraMicroscope Blaze (MACS iQ-processed) — pip install zarrmony-blaze
    • zarrmony-snouty — Snouty single-objective light-sheet — pip install zarrmony-snouty

Extras

Extra Adds When you need it
gcs gcsfs Writing output to gs:// URIs
s3 s3fs Writing output to s3:// URIs
ome-tiff bioio-ome-tiff Reading OME-TIFF input
all All of the above
dev pytest, ruff, pre-commit Contributing

Usage

CLI

# Auto (default): dispatches on the reader's layout_hint.
#   flat readers (CZI, LIF, ND2, OME-TIFF) → per-scene stores under OUTPUT
#   plate-shaped readers (e.g. zarrmony-phenix) → a single HCS plate store at OUTPUT
zarrmony convert input.czi output_dir/

# Force per-scene (one <scene>.ome.zarr store per scene under OUTPUT).
zarrmony convert input.czi output_dir/ --layout per-scene

# Force HCS plate (one <plate>.ome.zarr store at OUTPUT). Requires a
# plate-shaped reader; flat readers raise LayoutMismatchError.
zarrmony convert phenix-acquisition/ output.ome.zarr --layout plate

# Bundled bioformats2raw.layout (opt-in): writes a single store at OUTPUT.
zarrmony convert input.czi output.ome.zarr --layout bf2raw

# LIF-specific: write one OME-Zarr per mosaic tile (with stage positions in
# <Plane>) instead of bioio-lif's auto-stitched 1-pixel-overlap output.
# See docs/adr/0005-lif-mosaic-write-strategy.md.
zarrmony convert mosaic.lif output_dir/ --lif-mosaic per-tile

zarrmony inspect input.czi

Library

from zarrmony import convert

# Auto (default): for a flat reader, returns {"input": ..., "stores": [...]};
# for a plate-shaped reader, returns the single plate audit dict (schema 3,
# with "fields" and a top-level "plate" block). Switch on audit["layout"].
result = convert("input.lif", "output_dir/")

# Bundled: returns the single bundle's audit dict.
audit = convert("input.lif", "output.ome.zarr", layout="bf2raw")

# HCS plate: writes one OME-NGFF plate store at OUTPUT.
audit = convert("phenix-acquisition/", "output.ome.zarr", layout="plate")

Extending zarrmony

Add support for a new bioimage format by writing a reader plugin. See Writing a zarrmony reader plugin for the Reader Protocol, matcher conventions, entry-point registration, and a worked example.

License

Apache-2.0. See LICENSE.

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